MRI: Acquisition of a Supercomputing Cluster for Data-Intensive Computational Research using the Open Science Grid (OSG) Cyberinfrastructure

MRI：使用开放科学网格 (OSG) 网络基础设施获取用于数据密集型计算研究的超级计算集群

• 批准号: 0922923
• 负责人: Akhtar Mahmood
• 金额: $ 20.03万
• 依托单位: Bellarmine University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0922923&HistoricalAwards=false
• 关键词: MRI; Acquisition; Supercomputing; Cluster; Data

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Bellarmine University will acquire a 64-node Supercomputing Cluster with approximately 22TB of RAID6 disk storage space to conduct grid-enabled computational research in High Energy Physics using the Open Science Grid (OSG) cyberinfrastructure. The collaborative research activities will be carried out in close partnership with University of Oklahoma, State University of New York at Albany, Purdue University at Calumet, Southwestern University, and a Historically Black Minority-Serving institution, Benedict College. Using the grid middleware resources, this partnership will essentially create a virtual organization that will link all the research participants by bringing together geographically and organizationally dispersed computational resources and people from the six institutions from six different states by developing a platform for shared systematic use of the supercomputing cluster and effective utilization of computational tools. We plan to search for the Higgs Boson and SUSY (Supersymmetric) particles in specific decay channels using the LHC (Large Hadron Collider) data. The physics studies will first be carried out and tested on detailed simulations of particles and their interactions with the detector using the GEANT monte-carlo package. This multi-institutional research team will focus on the development of evolutionary algorithms and computational code to carry out the complex data analyses tasks by studying the various detector parameters - focusing on data reduction and filtering methodologies and pattern recognition techniques for extracting ?discovery level signals? from petabyte-scale datasets. The availability of a supercomputing cluster will serve as a powerful stimulus for the recruitment of undergraduate students in the sciences, especially from the underrepresented groups. The computational research activities with OSG will not only have a significant and a broad societal impact on the educational training of undergraduate students of all races and ethnicity at Bellarmine University, but also has the potential to bring in a new era of grid-enabled scientific research capability at this institution via infusion of this new knowledge. The grid-enabled supercomputing cluster will create precisely the kind of exciting learning environment that will provide the next generation of students at all seven participating institutions with an accessible entry to research and education at the frontiers of computational science, information technology, and cluster/grid computing. These trained students will acquire a solid computational background with broad technical skills and expertise in high performance parallel cluster computing techniques and grid middleware technologies. Using this supercomputing facility, we plan to incorporate the grid-enabled research activities into the academic curriculum by developing an innovative interdisciplinary course in ?Computational Science using Grid Technology.? Additionally, we plan to host a hands-on OSG Summer Grid Workshop/School at Bellarmine University for the undergraduate students from the regional public, private, and minority-serving institutions in Kentucky.

该奖项是根据2009年《美国复苏与再投资法》（公法111-5）资助的。 Bellarmine University将使用大约22TB的RAID6磁盘存储空间获得一个64节点的超级计算集群，以使用开放科学网格（OSG）Cyber​​infradstructure进行高能物理中启用网格的计算研究。 合作研究活动将与俄克拉荷马大学，纽约州立大学奥尔巴尼，阿尔巴尼大学，西南大学的普渡大学以及历史上历史悠久的黑人少数民族服务机构密切合作进行。使用网格中间件资源，该合作伙伴关系将基本上创建一个虚拟组织，该组织将通过将来自六个不同州的六个机构的地理和组织分散的计算资源和人员组合在一起，通过开发一个用于共享系统使用的平台，以共享系统使用系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统地使用系统，以共享系统使用，以共享系统使用，以共享系统地使用系统。超级计算集群和有效利用计算工具。我们计划使用LHC（大型强子对撞机）数据搜索特定衰减通道中的Higgs玻色子和Susy（超对称性）颗粒。物理学研究将首先在使用Geant Monte-Carlo包装的颗粒及其与检测器的相互作用上进行详细模拟并进行测试。 这个多机构研究团队将专注于开发进化算法和计算代码，以通过研究各种检测器参数来执行复杂的数据分析任务 - 专注于数据降低和过滤方法和提取提取的模式识别技术？发现水平？发现水平？发现水平吗？来自PETABYTE尺度数据集。 超级计算集群的可用性将成为招募科学本科生的强大刺激，尤其是从代表性不足的群体中。 OSG的计算研究活动不仅将对Bellarmine University的所有种族和种族的本科生的教育培训产生重大和广泛的社会影响，而且还有可能引入一个新的支持网格的科学研究时代通过注入这种新知识的能力。启用网格的超级计算集群将精确地创建令人兴奋的学习环境，该环境将为所有七个参与机构的下一代学生提供计算科学，信息技术和集群/网格技术领域的研究和教育的可访问性。计算。 这些受过训练的学生将获得具有良好的计算背景，具有广泛的技术技能和高性能平行集群计算技术和网格中间件技术的专业知识。使用这种超级计算设施，我们计划通过使用网格技术开发创新的计算科学跨学科课程，将支持网格的研究活动纳入学术课程中。此外，我们计划在贝拉明大学举办一次动手实践的OSG夏季网格研讨会/学校，为肯塔基州地区公共，私人和少数民族服务机构的本科生举办。